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We are looking for an experienced Senior Data Engineer to lay the foundation for our data infrastructure and drive the evolution of our data systems as we scale our Data Engineering department. As our founding Data Engineer, you’ll have the rare opportunity to architect and build scalable data solutions from the ground up, define best practices, and create a robust, high-performing data environment that fuels our company’s growth as a data-driven organization.
Job Responsibility:
Designing, Building, and Maintaining Scalable Data Pipelines
Optimizing Data Infrastructure for Performance and Scalability
Ensuring Robust Data Governance and Management
Collaborate with Product/Engineering Teams to Build Dashboards
Drive Best Practices for Data Collection
Requirements:
5+ Years of full time Data Experience
Strong Experience with Modern Data Stack Technologies (AWS, GCP, Azure, Terraform, Airflow, Prefect, Dagster, Fivetran, Estuary, dbt, BigQuery, Redshift, Snowflake, MongoDB)
Expertise in Database Management and Performance Optimization
Expertise in Modeling Best Practices Data Governance, Quality Assurance, and Documentation
Experience building ML Pipelines
Highly Organized, Proactive, and Efficient
Has a Background in Early Stage Data Team (Required)
What we offer:
Health, Dental and Vision Insurance
Equinox Membership
Unlimited PTO
Team Events, Dinners, & Offsites, Free Event Tickets to Dope Shows
New MacBook
Daily Uber Eats Credit
Relocation bonuses are available for some out-of-state candidates